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通过圆二色性(CD)结合浓度变化分析(CCA+)量化的肽和蛋白质片段的固有灵活性。

The inherent flexibility of peptides and protein fragments quantitized by CD in conjunction with CCA+.

作者信息

Jákli Imre, Perczel András

机构信息

Laboratory of Structural Chemistry and Biology, Institute of Chemistry, Eötvös Loránd University, Pázmány Péter sétány 1/A, H-1117, Budapest, Hungary.

出版信息

J Pept Sci. 2009 Nov;15(11):738-52. doi: 10.1002/psc.1169.

DOI:10.1002/psc.1169
PMID:19768692
Abstract

ECD spectroscopy is traditionally used for rapid, non-atomic level structure analysis of natural products such as peptides and proteins. Unlike globular proteins, peptides less frequently adopt a single 3D-fold in a time average manner. Moreover, they exhibit an ensemble of conformers composed of a multitude of substantially different structures. In principle, both ECD- and vibrational circular dichroism (VCD)-spectroscopy are sensitive enough to pick up structural information on these dynamic ensembles. However, the interpretation of the raw spectral data of these highly dynamic molecular systems can be cumbersome. The herein presented Convex Constraint Analysis Plus method, or CCA+ for short (http://www.chem.elte.hu/departments/protnmr/cca/), provides a unique opportunity for spectral ensemble analysis of peptides, glycopeptides, peptidomimetics, and other foldamers. The precision and accuracy of the approach is presented here through different peptide model systems. An interesting temperature and pH dependent folding and unfolding of a miniprotein (e.g. Tc5b variant) is also described. Analysis of CD spectra sets strongly affected by solvent and ion type is also introduced to account for severe environmental-induced structure influencing effect(s). The deconvolution makes always possible the quantitative data analysis even when the interpretation of the deconvolution resulted in pure CD curves is complex.

摘要

传统上,电子圆二色光谱(ECD)用于对肽和蛋白质等天然产物进行快速的、非原子水平的结构分析。与球状蛋白质不同,肽较少以时间平均的方式采用单一的三维折叠结构。此外,它们表现出由许多本质上不同的结构组成的构象异构体集合。原则上,ECD光谱和振动圆二色光谱(VCD)都足够灵敏,能够获取这些动态集合体的结构信息。然而,解释这些高度动态分子系统的原始光谱数据可能会很麻烦。本文提出的凸约束分析增强法(Convex Constraint Analysis Plus),简称为CCA+(http://www.chem.elte.hu/departments/protnmr/cca/),为肽、糖肽、肽模拟物和其他折叠体的光谱集合分析提供了独特的机会。本文通过不同的肽模型系统展示了该方法的精度和准确性。还描述了一种小型蛋白质(如Tc5b变体)有趣的温度和pH依赖性折叠与去折叠过程。还引入了对受溶剂和离子类型强烈影响的CD光谱集的分析,以考虑严重的环境诱导结构影响效应。即使对去卷积得到的纯CD曲线的解释很复杂,去卷积也总能实现定量数据分析。

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